DEMOGRAPHIC ANALYSIS OF POPULATION OF UZBEKISTAN USING DATA SCIENCE TOOL PANDAS
- Authors
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Azizjon Meliboev
Department of Digital Technology and Mathematics, Kokand University.
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Elbek Asqarov
Department of Digital Technology and Mathematics, Kokand University.
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Naraliyev Azizbek
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- Keywords:
- Array
- Abstract
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The purpose of this study is to use the data science tool Pandas to perform a demographic analysis of the Uzbek population. We will investigate important demographic parameters as age distribution, gender ratio, population density, urban vs. rural population distribution, and population growth trends over time by utilizing Pandas' data manipulation and analysis capabilities. In order to produce insightful findings, the analysis will entail importing population databases, cleaning and preparing the data, and doing exploratory data analysis (EDA). The study will provide a thorough grasp of Uzbekistan's demographic structure by identifying patterns and trends within the country's population through statistical metrics and visualization.
- References
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The pandas development team. (2020, February). pandas-dev/pandas: Pandas (latest version) [Software]. Zenodo. https://doi.org/10.5281/zenodo.3509134
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Meliboev, A. (2024). IOT NETWORK INTRUSION DETECTION SYSTEM USING MACHINE LEARNING TECHNIQUES. QO‘QON UNIVERSITETI XABARNOMASI, 11(11), 112–115. https://doi.org/10.54613/ku.v11i11.972
Meliboev, A. (2024). MACHINE LEARNING METHODS FOR BREAST CANCER CLASSIFICATION BY USING DATA SCIENCE TECHNIQUES . QO‘QON UNIVERSITETI XABARNOMASI, 11(11), 101–104. https://doi.org/10.54613/ku.v11i11.969
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- Published
- 2025-03-30
- Section
- Raqamli texnologiyalar / Digital technologies
- License
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Copyright (c) 2025 QO‘QON UNIVERSITETI XABARNOMASI
This work is licensed under a Creative Commons Attribution 4.0 International License.
